Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jabrena/plinth --skill 811-regulations-eu-market-abuse-regulationgit clone --depth 1 https://github.com/jabrena/plinthWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jabrena/plinth/811-regulations-eu-market-abuse-regulation)<a href="https://agentmods.dev/skills/jabrena/plinth/811-regulations-eu-market-abuse-regulation"><img src="https://agentmods.dev/badge/skills/jabrena/plinth/811-regulations-eu-market-abuse-regulation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jabrena/plinth/811-regulations-eu-market-abuse-regulation"><img src="https://agentmods.dev/badge/skills/jabrena/plinth/811-regulations-eu-market-abuse-regulation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00135 | $0.02636 |
| Opus 5 | $0.00068 | $0.01318 |
| Sonnet 5 | $0.00027 | $0.00527 |
| Haiku 4.5 | $0.00014 | $0.00264 |
Grade A, and why
811-regulations-eu-market-abuse-regulation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EU Market Abuse Regulation for Java Enterprise Market Surveillance Controls
Use this Skill to review Java enterprise applications, trading systems, order-management services, transaction-monitoring pipelines, market-data platforms, surveillance services, disclosure workflows, insider-list tooling, alert triage applications, investigation records, CI/CD workflows, or operational tooling that may support Market Abuse Regulation (MAR) concerns.
Apply this Skill to determine what engineering controls, reviewable evidence, and escalation paths are needed before a system is released, connected to production trading data, used for suspicious order or transaction monitoring, used to manage inside information, or used to support market-surveillance decisions.
This Skill is not legal advice. It helps Java engineers, architects, tech leads, platform teams, market-surveillance teams, compliance engineering teams, and reviewers identify when MAR concerns may apply and how to translate market-integrity expectations into enterprise architecture controls such as suspicious order and transaction monitoring, insider dealing controls, market manipulation signals, inside-information disclosure evidence, insider-list workflows, alert explainability, model and rule provenance, reviewer decision trails, false-positive handling, investigation records, observability, change control, documentation, and compliance evidence handoff.
The purpose of this Skill is to increase awareness of potential gaps in the system and create engineering evidence for qualified review. The response produced by this Skill does not represent legal advice, a legal opinion, a determination of insider dealing, market manipulation, unlawful disclosure, reportability, jurisdiction, or a final regulatory determination.
The main question is:
When does a Java enterprise financial system require MAR-aware market-surveillance controls, and what should developers build differently?
External reference: Market Abuse Regulation (EU) No 596/2014.
Market Abuse Regulation chapters summary reference: MAR chapters summary.
Java engineering examples reference: MAR engineering examples.
Questionnaire asset: MAR engineering review questionnaire.
Report template asset: MAR engineering review report template.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/questions/811-market-abuse-regulation-engineering-review-questionnaire.md 14 KB
- assets/reports/811-market-abuse-regulation-engineering-review-report-template.md 9.3 KB
- references/811-regulations-eu-market-abuse-regulation-chapters-summary.md 16 KB
- references/811-regulations-eu-market-abuse-regulation-engineering-examples.md 12 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 109 lines · 135 tokens per session scan A 6469e508d6ba
811-regulations-eu-market-abuse-regulation is a skill published in the GitHub repository jabrena/plinth (439 stars, last pushed yesterday), licensed Apache-2.0. It adds 135 tokens to every session and 2,636 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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